class_docstr: An stochastic context encoders.
  
  An stochastic encoder maps an input to a distribution, but not a
  deterministic vector.
docstr: object: Embedding distribution.
docstr_tok: ["object",":","Embedding","distribution","."]
code: def distribution(self):
      """object: Embedding distribution."""
  
file_path: garage/src/garage/np/embeddings/encoder.py
imports: import abc
label_desc: Use image node_id 1 for calling the StochasticEncoder obj's underlying member method code with example usage: obj.distribution() without return types